A data scientist's role combines computer science statistics and mathematics,
they analyze process and model large sets of structured and unstructured data,
then interpret the results to create actionable plans for the companies.
Today's we're going to discuss how to become a data scientist,
Why to become a data scientist
Who is a data scientist
Data scientist job descriptions and skills
How to become a data scientist.
1 - Why Become A Data Scientist
The answer can lie in the demand for this job, so according to the job vacancy on linkedin,
there's over 76 000 vacant jobs in india for data scientists,
and in the american job market there's over 240 000 jobs,
so data science is definitely a booming industry currently,
Now we will talk about the salary
since there's a lot of vacancy the demand for this job is pretty high,
though the competition is not that high,
now this will make you think about the salary package.
Even though the competition is not that high the salary for a data scientist is pretty decent in india.
it's on an average 7 lakh per annum,
while in the u.s job market a data scientist can earn around 10 560 dollars per year these data are based on class door.
Now we will see the top companies hiring data scientists
Top companies to name are
Deloitte
Accenture
Tcs
Fractal
Mind tree
Amazon
Citrix
Flipkart
Kpmg and even companies like
Mu sigma
Ibm
Linkedin
Ey genpak
Zs associates all of them hire data scientists.
2 - Who is a data scientist
So a data scientist is a big data Wrangler,
who gather and dissect large sets of structured and unshaped data.
they are logical experts who use their chops in both technology,
and social wisdom to find trends and manage data.
they use industry knowledge contextual understandings skepticism of existing assumptions to uncover solutions to business challenges.
A data scientist's work typically involves making sense of messy unstructured data and from sources such as smart devices social media feeds and emails that don't neatly fit into a database.
How does a data scientist help the organization
they help the organization in making smarter decisions,
assessing business decisions managing businesses efficiently and
use analytics to predict outcomes and
even leverage data for business decisions
3 - Data Scientist Job Descriptions And Skills
so from one of the big fours deloitte their requirement for a data scientist job requires.
are in python
w power bi for business intelligence tools and
for data frameworks hadoop and
hive and for etl tools like sql alteryx ads etc
even the knowledge of machine learning is helpful in data science.
we will see according to accenture,
they also require experience of python and r and dependencies of
Pandas
Numpy
Ki kit learn etc
in their requirement
also we have seen knowledge of bi tools like power bi, tableau, cue lick view etc.
we will see the job description of a data scientist in linkedin.
They also require a qualification with sql experience with data visualization tools like tableau power bi etc,
Data analysis experience using spark kela or hive and a knowledge of a b testing.
We will see the skills required by a data scientist
First and foremost is organizational skills.
A data scientist requires organization skills to make decision for the business
they also need to have analytical skills and concepts of database and knowledge of programming languages like r and python.
A data scientist also requires to know
Artificial intelligence
Statistical analysis
Machine learning and
Data visualization tools like
Tableau and
Powerpi
We'll look into the tools that are required to know by a data scientist that are namely
R
Python
Hadoop
Tableau
Numpy
Pandas
Apache
Spark and
Power bi
Roles And Responsibilities Of A Data Scientist
The roles and responsibilities are mostly to transform data into tangible business value by analyzing information and collaborating on product development.
they also require to represent a scientific role where he plans implements and assess high level statistical models and strategize for application.
they are also required to perform a vital role in advancement of innovative strategies to understand the business consumer trends and management..
A data scientist also performs related tasks and tasks assigned by senior data scientist
Head of data science
Chief data officer or even
The employer.
They take leadership to explore different technologies and tools with a vision of creating innovative data driven insights for the business.
They are also required to collaborate with superior data scientists to communicate obstacles and finding to relevant stakeholders.
4 - How To Become A Data Scientist
So the pathway or roadmap to become a data scientist involves choosing a programming language to learn that can be r or python.
Then learn statistics and probability to understand statistical tools to work with,
They also need to have a hands-on experience in sql to retrieve data,
and a knowledge of deep learning and exploratory data analysis and machine learning algorithms.